code: def get_all_shape_operators():
      """Gets all array shape manipulation operators registered with MXNet.
  
      Returns
      -------
      {"operator_name": {"has_backward", "nd_op_handle", "params"}}
      """
      shape_ops = [
          "split",
          "SliceChannel",
          "diag",
          "reshape",
          "reshape_like",
          "size_array",
          "shape_array",
      ]
  
      # Get all mxnet operators
      mx_operators = _get_all_mxnet_operators()
  
      # Filter for Array Shape Manipulation operators
      shape_mx_operators = {}
      for op_name, op_params in mx_operators.items():
          if op_name in shape_ops:
              shape_mx_operators[op_name] = mx_operators[op_name]
      return shape_mx_operators
  
imports: from operator import itemgetter
  from mxnet import runtime
  import mxnet
  from benchmark.opperf.rules.default_params import DEFAULTS_INPUTS, DEFAULTS_INPUTS_LARGE_TENSOR, MX_OP_MODULE
label_desc: Use image node_id 21 for calling a global function with example usage: get_all_shape_operators() and returns: shape_mx_operators